A content-based image retrieval approach based on document queries
M. Ilie “Dunarea de Jos” University of Galati, Faculty of Automatic Control, Computers, Electrical and Electronics Engineering, Galati, Romania
Abstract
This chapter presents a new content-based image retrieval (CBIR) approach, which makes use of descriptors originating in the local and global search spaces. The algorithm extracts four color descriptors, one texture descriptor, and two local descriptors which are used to train the corresponding classifiers, based on neural networks. Subsequently, the classifiers are grouped in two weighted majority voting modules, for local and global characteristics. The system is tested on regular images and on document scans ...
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